johngunawan

johngunawan's Stars

• keithmcnulty/ona_book

  Handbook of Graphs and Networks in People Analytics

  Language:TeX11330

• keithmcnulty/peopleanalytics-regression-book

  Handbook of Regression Modeling in People Analytics

  Language:TeX15477

• BrandonHoeft/Glassdoor-Topic-Modeling-my-Employer

  Language:R34

• adamribaudo/storytelling-with-data-ggplot

  Recreation of Cole Nussbaumer Knaflic's Storytelling with Data plots using R an ggplot2

  Language:R21666

• RamiKrispin/italy_dash

  A summary dashboard of the covid19 cases in Italy

  Language:Dockerfile7734

• benolsen5/dat248x

  DAT248x: Analytics Storytelling for Impact Assets

  916

• elena-roff/time-series-prophet

  Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

  Language:Jupyter Notebook18971

• izk8/2018_SIOP_Machine_Learning_Winners

  Language:Jupyter Notebook2010

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.4k4.5k

• nareshv00/Survival-Analysis-for-Predicting-Employee-Turnover

  Language:SAS64

• microsoft/acceleratoRs

  Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

  Language:HTML146146

• mpiccirilli/Rlinkedin

  Dev version of access to LinkedIn API via R

  Language:R8544

• tonyfischetti/bayesian-regularization

  A demonstration of Bayesian approaches to linear model regularization

  Language:R176

• jocicmarko/kaggle-dsb2-keras

  Keras tutorial for Kaggle 2nd Annual Data Science Bowl

  Language:Python17678

• booz-allen-hamilton/DSB2

  Language:Jupyter Notebook1714

• keras-team/keras

  Deep Learning for humans

  Language:Python61.9k19.5k

• lisa-lab/DeepLearningTutorials

  Deep Learning Tutorial notes and code. See the wiki for more info.

  Language:Python4.1k2.1k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k18.7k

• HireSmarter/churn201

  Simple employee cost/benefit model with plots. Supports a series of blog entries.

  Language:R7055